DeepSeek-V4-Pro-0813 vs Parse
Comparing DeepSeek-V4-Pro-0813 and Parse across benchmarks, pricing, and capabilities.
DeepSeek · Cohere · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
Choose Parse
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
12 reported for DeepSeek-V4-Pro-0813 · 1 for Parse
DeepSeek-V4-Pro-0813 and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1597.7B more parameters than Parse, making it 69465.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Parse's 8,192 tokens. Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).
Input capabilities
Documented input modalities across available providers
Parse supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
Parse
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Parse uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Parse was released on 2026-08-27.
Parse is 0 month newer than DeepSeek-V4-Pro-0813.
Aug 13, 2026
2 weeks ago
Aug 27, 2026
6 days ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Parse is available from Azure, Cohere.
DeepSeek-V4-Pro-0813
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Parse.